Dynamo AI
Dynamo AI is a company that specializes in providing end-to-end privacy, security, and compliance solutions for enterprises adopting AI technologies. Their product suite covers the entire AI development lifecycle, offering tools like DynamoEval for automated stress testing, DynamoEnhance for risk remediation and model enhancement, and DynamoGuard for deploying AI guardrails and auditing LLM usage. Dynamo AI prepares organizations for emerging AI regulations by automating vulnerability assessments and bolstering red-teaming processes, ensuring compliance with regulatory changes such as the EU AI Act. The company aims to help enterprises manage the security and privacy challenges posed by AI adoption.
Head of AI Solutions
6 days ago
Dynamo AI
Dynamo AI is a company that specializes in providing end-to-end privacy, security, and compliance solutions for enterprises adopting AI technologies. Their product suite covers the entire AI development lifecycle, offering tools like DynamoEval for automated stress testing, DynamoEnhance for risk remediation and model enhancement, and DynamoGuard for deploying AI guardrails and auditing LLM usage. Dynamo AI prepares organizations for emerging AI regulations by automating vulnerability assessments and bolstering red-teaming processes, ensuring compliance with regulatory changes such as the EU AI Act. The company aims to help enterprises manage the security and privacy challenges posed by AI adoption.
📋 Description
•As the Head of AI Solutions at Dynamo, you will play a major leadership role and act as a face of Dynamo to our engaged enterprise customers. •You will connect the dots between enterprise needs and Dynamo’s AI solutions and need to think creatively in high stake scenarios to maximize ROI for Dynamo’s customers.
🎯 Requirements
•Strong presentation, writing, and communication skills •Actively looking to learn about the workflows of ML, product, and engineering teammates to better coordinate with these teams •Experience with managing teams, projects, or products, which required scoping projects, coordinating deliverables, and communicating requirements to teammates. •Experience with machine learning topics (e.g. Huggingface, Llamaindex, LangChain, PyTorch, Neural networks, LLMs) is a plus •Experience leading ML or engineering teams in financial services is a plus
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